Machine learning algorithms for many-body quantum systems
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Updated
Oct 24, 2024 - Python
Machine learning algorithms for many-body quantum systems
Next generation FEniCS Form Compiler for finite element forms
UFL - Unified Form Language
A Python implementation of Monge optimal transportation
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Interface to run Diva software tool (spatial interpolation).
Parallel Data Assimilation Framework
Variational Osmosis for Non-Linear Image Fusion
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization
Implementation of the Variational Method for Quantum Mechanics in python.
A Python interface to parallel data assimilation framework - pyPDAF
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
Advanced Data Assimilation Algorithms and Methods
CFD solve on a current quantum computer
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
Official PyTorch code for UAI 2024 paper "ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding"
Weather routing via variational methods
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